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extracting info from the github statistics api¶

i've wanted to take looks at github repositories over time. what kind of trends are there revealed over the years of projects? what can we infer from past actions that might predicate success?

this work is an extension of the pyproject.toml analysis. we use the same list of respositories to generate their statistics.

doit is likely a suboptimal choice for this, so we'll probably want to try dask later.

the endpoints we retrieve the stats from

get_stats is a function that tries again when a 202 status is returned.

retrieve the data with doit¶

explore the data in dataframes¶